Daniel R. Pérez
Impact in
- Agronomy and Crop Science top 0.02%
- Animal Disease Management and Epidemiology
- Epidemiology top 0.05%
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in
-
- Animal Disease Management and Epidemiology 102
- Epidemiology 190
- Influenza Virus Research Studies 184
- Respiratory viral infections research 92
- Co-authors
- Robert G. WebsterYi GuanE. HoffmannJürgen StechHongquan WanRubén O. DonisDaniela S. RajãoErin M. Sorrell
- Journals
- Journal of Virology (45 papers)Virology (12 papers)PLoS ONE (12 papers)Journal of General Virology (11 papers)Proceedings of the National Academy of Sciences (9 papers)
- Partner nations
- United StatesArgentinaChina
In The Last Decade
Daniel R. Pérez
212 papers receiving 11.3k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Agronomy and Crop Science 4.8k
- Epidemiology 9.6k
- Infectious Diseases 4.3k
- Immunology 2.3k
- Animal Science and Zoology 992
Countries citing papers authored by Daniel R. Pérez
This map shows the geographic impact of Daniel R. Pérez's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel R. Pérez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel R. Pérez more than expected).
Fields of papers citing papers by Daniel R. Pérez
This network shows the impact of papers produced by Daniel R. Pérez. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel R. Pérez. The network helps show where Daniel R. Pérez may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel R. Pérez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 5 | |
| 8 | 2023 | 9 | |
| 9 | 2022 | 33 | |
| 10 | 2022 | 13 | |
| 11 | 2021 | 10 | |
| 12 | 2020 | 14 | |
| 13 | 2020 | 4 | |
| 14 | 2020 | 26 | |
| 15 | 2020 | 14 | |
| 16 | 2019 | 4 | |
| 17 | 2018 | 26 | |
| 18 | 2016 | 9 | |
| 19 | 2006 | 258 | |
| 20 | Especialización crediticia y resultados en la banca europea | 2003 | 3 |
About Daniel R. Pérez
Daniel R. Pérez is a scholar working on Agronomy and Crop Science, Epidemiology, Infectious Diseases, Animal Science and Zoology and Immunology, having authored 220 papers that have together received 11.5k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (184 papers), Animal Disease Management and Epidemiology (102 papers), Respiratory viral infections research (92 papers), Viral gastroenteritis research and epidemiology (36 papers), Immune Response and Inflammation (26 papers), Animal Virus Infections Studies (25 papers), Viral Infections and Vectors (21 papers) and RNA and protein synthesis mechanisms (15 papers). The work is most often cited by research in Agronomy and Crop Science (4.8k citations), Epidemiology (9.6k citations), Infectious Diseases (4.3k citations), Immunology (2.3k citations) and Animal Science and Zoology (992 citations). Daniel R. Pérez has collaborated with scholars based in United States, Argentina and China. Frequent co-authors include Robert G. Webster, Yi Guan, E. Hoffmann, Jürgen Stech, Hongquan Wan, Rubén O. Donis, Daniela S. Rajão, Erin M. Sorrell, Danielle Hickman and Haichen Song. Their work appears in journals such as Journal of Virology, Virology, PLoS ONE, Journal of General Virology and Proceedings of the National Academy of Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.